Will automation replace the people running the process?

It shifts them. Automation absorbs the repetitive volume while people handle exceptions, judgement, and quality control — which is also where accuracy improves most.

How do you handle sensitive customer data?

Segregated environments, role-based access, masking in non-production, and processing within agreed jurisdictions, evidenced against GDPR, DPDP, and your own contractual obligations.

How quickly can an engagement start?

Discovery usually begins within one to two weeks of scope agreement, and a delivery team is typically mobilised within three to four weeks depending on the skills involved.

Can you work alongside our in-house team?

Yes — most of our engagements are blended. We work in your repositories, ceremonies, and tooling, and we plan for knowledge transfer from the start so capability stays with you.

How are engagements priced?

Fixed price for well-bounded projects, monthly capacity for dedicated pods, and outcome-linked SLAs for managed services. We are explicit about assumptions and what would change the number.

NeonAITech services — AI and data engineering, product engineering, cloud and DevOps, managed operations, security and quality

Managed Digital Operations

Back-office processes run as a service, and automated as they run.

Book Free Consultation All Services

40%+

Lower cost per transaction

99%+

Processing accuracy against SLA

Year on year

Productivity improvement committed

Overview

What Managed Digital Operations means at NeonAITech

We take on transaction-heavy business processes — finance operations, data processing, order management, customer administration — and run them to agreed quality and turnaround targets, automating steps continuously so the cost per transaction falls over the life of the contract.

Tools & Platforms

UiPath
Power Automate
Claude
Celonis
SAP
Power BI

We are not tied to a single vendor — the stack follows the problem, your existing estate, and your team’s skills.

What We Deliver

Process Transition & Operation

Documented process takeover with quality baselines, turnaround targets, and trained delivery teams.

Intelligent Automation

RPA and AI document processing applied to the steps that dominate effort, with human review where judgement matters.

Analytics & Continuous Improvement

Process mining and performance analytics that expose bottlenecks and drive a measured productivity curve.

Capabilities

Inside the Engagement

Finance, order, and customer operations

AI document extraction and validation

RPA for rules-based, high-volume steps

Quality sampling and four-eyes controls

Data-protection and confidentiality controls

How We Work

A delivery rhythm you can see into

Every Managed Digital Operations engagement runs the same four phases, with AI used wherever it removes effort rather than adds novelty.

01
Discover
We map the current state, agree the outcome, and size the work — so scope is a shared decision, not a surprise.
02
Design
Architecture, delivery plan, and success measures are set before build, with costed options where trade-offs exist.
03
Build
Short increments with working output you can review, steer, and stop — never a black box until go-live.
04
Operate
We measure against the agreed outcomes, hand over documentation, and stay on for support where you want it.

Engagement Models

Buy it the way that fits

Fixed-Scope Project

A defined outcome, timeline, and price. Best when requirements are clear and the deliverable is well bounded.

Dedicated Pod

A cross-functional team working to your backlog and priorities, scaling up or down with a month’s notice.

Managed Service

Ongoing ownership against agreed SLAs, with a share of capacity reserved for continuous improvement.